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9781032702735

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Reviews

“As a Human-Computer Interaction researcher I often think about how we might improve the bandwidth to the brain. To me after-shocks helps us chart a bi-directional path first, from the human brain through interfaces, software and algorithms to the Hardware we rely on today. However you can read through the book, which outlines the risks and opportunities, as we move through Hardware failure, design thinking opportunities, risks and rewards in artificial intelligence such as using ripple down rules or computationally wasteful approaches, through to the rewards for education and finally to what cognitive load theory and Brain computer interfaces and a Metaverse might afford us as we try to cross the rubicon between the digital and the inputs to our brain. Carefully constructed, this book will delight and possibly annoy you in equal measure, but one thing is certain, your thinking on why “computer science matters” will never be the same again.” -Professor Aaron Quigley, Science Director and Deputy Director of CSIRO’s Data61

Author Information

Sebastian Sequoiah-Grayson is a senior lecturer in epistemics at the School of Computer Science and Engineering at the University of New South Wales. His research spans across many areas of human information processing, including substructural epistemic logics, dynamic theories of negative information, data sonification, psychological theories of free will, ethics of computer science and information, and philosophy of mathematics.

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